Big Data for Traffic Estimation and Prediction: A Survey of Data and
Tools
- URL: http://arxiv.org/abs/2103.11824v1
- Date: Thu, 18 Mar 2021 01:46:05 GMT
- Title: Big Data for Traffic Estimation and Prediction: A Survey of Data and
Tools
- Authors: Weiwei Jiang, Jiayun Luo
- Abstract summary: This study presents an up-to-date survey of open data and big data tools used for traffic estimation and prediction.
Different data types are categorized and the off-the-shelf tools are introduced.
To further promote the use of big data for traffic estimation and prediction tasks, challenges and future directions are given for future studies.
- Score: 1.1977931648859175
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Big data has been used widely in many areas including the transportation
industry. Using various data sources, traffic states can be well estimated and
further predicted for improving the overall operation efficiency. Combined with
this trend, this study presents an up-to-date survey of open data and big data
tools used for traffic estimation and prediction. Different data types are
categorized and the off-the-shelf tools are introduced. To further promote the
use of big data for traffic estimation and prediction tasks, challenges and
future directions are given for future studies.
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